Users correcting the weather in-app is a huge curiosity of mine. I first blogged about that like 8 years ago for a now-defunct project: http://www.jacobsheehy.c

Users correcting the weather in-app is a huge curiosity of mine. I first blogged about that like 8 years ago for a now-defunct project: http://www.jacobsheehy.com/2013/12/locally-crowdsourced-weather-notifications-to-improve-model-accuracy/ http://www.jacobsheehy.com/2013/12/locally-crowdsourced-weat... I have also re-implemented this feature in All Clear on Android [1]. My main lesson from all this so far is that it is useful and fun to collect and show the data, and real insights can be had by users seeing their peers' data, but incorporating the data into a model usefully is a bit more difficult! Making numerical predictions that actively use the user's weather data (rather than just showing 'x users say it is raining nearby even though the forecast says it shouldn't be') is much tougher. [1] https://play.google.com/store/apps/details?id=com.allclearweather.android https://play.google.com/store/apps/details?id=com.allclearwe...